machine learning engineer

artificial intelligence engineer Jobs in Chicago

artificial intelligence engineer

ai platform engineer

ai/ml engineer 

applied machine learning engineer – ml & ai systems Jobs in Chicago

applied machine learning engineer ml ai systems

Machine Learning Engineer

Cognizant

The posted job opening may be for a Temporary Fixed Term period of time. If the selected applicant is hired as a Temporary Fixed Term employee/associate, their employment with Cognizant will typically be for a period of six to nine months. Any extensions to the temporary employee’s employment period will be solely at the discretion of Cognizant Technology Solutions. About the role
 As a Gen AI Architect , you will make an impact by designing and implementing end-to-end artificial intelligence and machine learning solutions that support safe, scalable, and compliant medical device products. You will be a valued member of the AI and data engineering team and work collaboratively with data scientists, engineers, and compliance stakeholders to deliver innovative solutions that meet regulatory and clinical standards. In this role, you will:
 Design end-to-end machine learning architectures using AWS AI/ML services and MLOps practices for scalable and secure medical device applications
 Develop reusable MLflow-based frameworks for experiment tracking, model versioning, and governance across projects
 Build automated ML pipelines using AWS CodePipeline and related services to enable CI/CD for machine learning models
 Collaborate with cross-functional teams to translate AI/ML concepts into production-ready solutions aligned with regulatory requirements
 Define standards for data ingestion, feature engineering, and model serving to meet performance, reliability, and compliance goals
 Optimize deployment of generative AI and traditional ML models on AWS, balancing cost, scalability, and compliance
 Implement monitoring strategies for model drift, data drift, and system performance using MLOps tools
 Document architectures, decisions, and operational processes to support audits and regulatory reviews
 Partner with compliance and quality teams to ensure traceability, validation, and risk management in medical device AI solutions
 Promote secure coding and data protection practices for sensitive healthcare data
 Review and enhance existing AI/ML solutions to improve scalability, reliability, and clinical safety
 Support modernization of legacy systems into AI-driven solutions for improved clinical outcomes
 Advise stakeholders on how AI and ML capabilities can enhance medical device offerings responsibly Work model
 We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days a week in a Cognizant office or client location in Chicago, IL. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
 The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. What you need to have to be considered:
 9–12 years of experience in AI/ML engineering, solution architecture, or data science
 Strong hands-on experience with AWS machine learning services and cloud-native architecture design
 Proven expertise in MLOps practices, including MLflow, model lifecycle management, and governance
 Experience implementing CI/CD pipelines for ML using AWS CodePipeline or similar tools
 Deep understanding of machine learning concepts, including model development, evaluation, and feature engineering
 Hands-on experience with generative AI techniques and frameworks
 Experience working in regulated environments, preferably in medical devices or healthcare
 Strong understanding of data security, compliance, and privacy standards
 Ability to communicate effectively with both technical and non-technical stakeholders These will help you stand out:
 Experience delivering audit-ready, compliant AI/ML solutions in the medical device domain
 Familiarity with regulatory frameworks and validation processes for healthcare technologies
 Strong knowledge of responsible AI practices and risk mitigation strategies
 Experience designing highly scalable, secure cloud architectures for sensitive data
 Ability to bridge innovation with compliance in complex enterprise environments Salary and Other Compensation:
 Applications will be accepted until July 2, 2026 .
 The hourly salary for this position is between $88/hr - $100/hr depending on experience and other qualifications of the successful candidate.
 This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
 Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
 
Medical/Dental/Life Insurance
 
Long-term/Short-term Disability
 Employee Stock Purchase Plan
 Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Gen AI Architect

Intellect Group

<div>
 
 
 Junior&ndash;Mid-Level AI Engineer &ndash; Chicago, IL
 
 
 
 
 Location: Chicago, IL &mdash; Hybrid
 
 
 
 
 Salary: $110,000&ndash;$150,000 base salary, depending on experience
 
 
 
 
 Employment Type: Permanent | Full-Time
 
 
 
 
 
 
 Intellect Group is partnering with high-growth technology companies across Chicago that are hiring Junior and Mid-Level AI Engineers.
 
 
 
 
 
 These opportunities are suited to engineers with approximately 1&ndash;3 years of professional experience, as well as exceptional graduates with strong internships, research experience, or substantial hands-on AI projects.
 
 
 
 
 
 You will work alongside experienced engineers, data scientists, and product teams to build AI systems that move beyond experimentation and into production. Our clients include funded startups, scaling technology companies, and established businesses operating across AI, fintech, healthcare, SaaS, and logistics.
 
 
 
 
 
 
 What You&rsquo;ll Be Doing
 
 
 
 &bull; Designing, developing, and deploying machine learning models and AI-powered product features
 
 
 &bull; Building applications using LLMs, generative AI, NLP, and deep learning
 
 
 &bull; Developing end-to-end AI pipelines covering model training, deployment, evaluation, and monitoring
 
 
 &bull; Building RAG pipelines, semantic search tools, AI agents, and conversational applications
 
 
 &bull; Developing APIs and services that integrate AI models into customer-facing products
 
 
 &bull; Collaborating with software engineers, data scientists, and product teams to solve real-world business problems
 
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 
 &bull; Approximately 1&ndash;3 years of experience in AI engineering, machine learning, data science, or software engineering
 
 
 &bull; Exceptional graduates with relevant internships, research, or technically strong personal projects will also be considered
 
 
 &bull; Strong Python programming skills
 
 
 &bull; Experience with PyTorch, TensorFlow, Scikit-learn, Hugging Face, or similar frameworks
 
 
 &bull; A solid understanding of machine learning, neural networks, transformers, and model evaluation
 
 
 &bull; Exposure to LLMs, generative AI, NLP, or deep learning
 
 
 &bull; Strong problem-solving and communication skills, with the ability to explain the reasoning behind your work
 
 
 
 
 
 
 Desirable Experience
 
 
 
 &bull; RAG, AI agents, vector databases, embeddings, or semantic search
 
 
 &bull; AWS, Microsoft Azure, or Google Cloud Platform
 
 
 &bull; Docker, FastAPI, Kubernetes, CI/CD, or other MLOps technologies
 
 
 &bull; SQL, data pipelines, API development, and production deployment
 
 
 &bull; Open-source contributions, academic research, Kaggle competitions, or personal AI projects
 
 
 
 
 
 
 What&rsquo;s on Offer:
 
 
 
 &bull; A base salary of $110,000&ndash;$150,000
 
 
 &bull; Annual bonuses or equity options
 
 
 &bull; Medical, dental, and vision insurance
 
 
 &bull; 401(k) plans with potential employer matching
 
 
 &bull; Flexible paid time off and paid parental leave
 
 
 &bull; Learning and professional-development support
 
 
 &bull; Hybrid working and commuter benefits
 
 
 &bull; Clear progression into Senior, Lead, and Staff AI Engineering roles
 
 
 
 
 
 
 Apply Now
 
 
 
 If you are an early-career AI Engineer looking to build meaningful, production-ready AI systems, we would like to hear from you. Apply with your r&eacute;sum&eacute; today. Links to GitHub profiles, portfolios, research papers, or personal AI projects are strongly encouraged.
 
 
 
 
 
 
 A member of the Intellect Group team will contact suitable applicants to discuss relevant opportunities across the Chicago market.
 
 
</div>

Artificial Intelligence Engineer

Arrive Logistics

<div><div>Who We Are

Arrive Logistics is a leading transportation and technology company in North America with plans to grow significantly year over year. Our success is a testament to our remarkable team and what we&rsquo;re building together. We&rsquo;re committed to providing employees with a meaningful work experience and have established an award-winning culture that supports personal and career development in a fun, casual, and collaborative environment.

Who We Want

The Data Scientist II will work closely with Data Science, Product, and Engineering to build and improve ML and AI systems that drive operational value. This role is a great fit for a hands-on practitioner with applied experience in NLP and LLM-based systems who is ready to take on meaningful technical ownership. You'll contribute to the full lifecycle of production ML systems &mdash; from evaluation and measurement through development, deployment, and iteration &mdash; with a particular focus on text and language-based applications. The ideal candidate is comfortable operating in ambiguous problem spaces, can translate loosely defined business needs into concrete technical approaches, and communicates findings clearly to both technical and non-technical audiences.
</div>
<h3 class="jobSectionHeader">What You'll Do</h3><div>
<ul><li>Develop, evaluate, and iterate on NLP and LLM-based systems, including text classification, information extraction, and context retrieval pipelines.</li>
<li>Build measurement and evaluation frameworks &mdash; both offline and online &mdash; to assess where and why systems are underperforming and quantify the impact of improvements.</li>
<li>Develop golden test datasets and define methodologies for creating and maintaining them over time, including designing annotation guidelines and ensuring label quality.</li>
<li>Evaluate and apply the appropriate approach for language tasks &mdash; whether prompt engineering, fine-tuning, or classical NLP methods &mdash; including modern retrieval and RAG architectures and LLM evaluation methodologies, based on the problem and available data.</li>
<li>Perform structured analysis of system performance to surface failure modes, data gaps, and high-value areas for investment, applying sound statistical reasoning to evaluation results.</li>
<li>Partner with engineers to support deployment, integration, and monitoring of ML and AI systems in production.</li>
<li>Contribute to standards and best practices around deploying, evaluating, and monitoring text and language-based ML systems.</li>
<li>Document work clearly and maintain knowledge artifacts that make systems understandable and maintainable over time.</li>
<li>Collaborate with senior data scientists and cross-functional partners to translate business needs into well-scoped technical solutions, including communicating findings and recommendations to non-technical stakeholders.</li>
</ul></div><h3 class="jobSectionHeader">Qualifications
</h3><div><ul><li>Bachelor's or Master's degree in a quantitative field (computer science, statistics, linguistics, or related) and 2&ndash;4 years of applied ML or data science experience, or equivalent practical experience.</li>
<li>Hands-on experience building or improving NLP or LLM-based systems in applied settings.</li>
<li>Familiarity with text classification, information extraction, or other NLP tasks &mdash; and an understanding of where these systems fail.</li>
<li>Experience with both prompt engineering and fine-tuning approaches for language tasks, with the judgment to know when to apply each.</li>
<li>Familiarity with modern retrieval strategies and RAG architectures and how they affect LLM system performance.</li>
<li>Experience with Hugging Face Transformers for text classification or related NLP tasks.</li>
<li>Experience contributing to evaluation frameworks, test sets, or performance diagnostics for ML systems, including comfort with statistical methods for measuring model performance.</li>
<li>Proficiency in Python and SQL, and comfort working with structured and unstructured data.</li>
<li>Ability to operate effectively in ambiguous problem spaces &mdash; scoping technical approaches when requirements are not fully defined.</li>
<li>Strong written communication skills; able to document systems and findings clearly and present recommendations to non-technical stakeholders.</li>
<li>Experience designing data annotation workflows, labeling guidelines, or label quality processes is a plus.</li>
<li>Experience with model deployment, monitoring, or production ML workflows is a plus.</li>
<li>Familiarity with LangChain and LangSmith or similar LLM orchestration and observability tooling is a plus.</li>
<li>Transportation or logistics industry experience is a plus.</li>
</ul></div><h3 class="jobSectionHeader">The Perks of Working With Us
</h3><div><ul><li>Take advantage of our comprehensive benefits package, including medical, dental, vision, life, disability, and supplemental coverage.</li>
<li>Invest in your future with our matching 401(k) program.</li>
<li>Build relationships and take part in learning opportunities through our Employee Resource Groups.</li>
<li>Enjoy office wide engagement activities, team events, happy hours and more!</li>
<li>Leave the suit and tie at home; our dress code is casual.</li>
<li>Work in the heart of downtown Chicago, IL!</li>
<li>Sweat it out at the LifeStart gym in our office building that includes brand new Peloton bikes, top-of-the-line equipment and personal training options.</li>
<li>Maximize your wellness with free counseling sessions through our Employee Assistance Program</li>
<li>Take time to manage your physical and mental health - we offer company paid holidays, paid vacation time and wellness days.</li>
<li>Receive 100% paid parental leave when you become a new parent.</li>
<li>Get paid to work with your friends through our Referral Program!</li>
<li>Get relocation assistance! If you are not local to the area, we offer relocation packages.</li>
</ul></div><div>The base salary range for this position is $138K - $172K, plus bonus and benefits. The range displayed on each job posting reflects the pay range for the position across all locations. Within the range, individual pay is determined based on work location, job-related skills, experience, relevant education or training.</div><div>
<div>Your Arrive Experience</div>
<div>When we say &ldquo;award-winning culture,&rdquo; we mean it. We&rsquo;ve been recognized as a top workplace by Inc. Fast Company, Fortune, and earned Top Workplaces and Great Place to Work, to name a few. We intend on topping many more of those lists in the years to come, but we&rsquo;re not in it for the trophies. We&rsquo;re committed to culture because it keeps us connected to each other and invested in our shared success while having a blast along the way. Our employee-founded resource groups create communities within Arrive&rsquo;s walls, including Women in Logistics, Emerging Professionals, Prisms, Black Logistics Group, Salute and Unidos.</div>
<div></div>
<div>Notice:</div>
<div>To ensure a safe and transparent interview process, we want to note that Arrive Logistics adheres to strict recruitment practices. Candidates undergo an interview process, and Arrive Logistics does not provide unsolicited job offers. If you have concerns about receiving a fraudulent offer, please contact talentacquisition@arrivelogistics.com for verification.</div></div></div>

Data Scientist II

Motorola Solutions

<div>
 
 Company Overview
 
 
 
 At Motorola Solutions, we believe that everything starts with our people. We&rsquo;re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that&rsquo;s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.
 
 
 
 Department Overview
 
 
 
 Motorola Solutions, Inc.
 
 
 
 Job Description
 
 
 
 <ul>
 <li>
 Develop and implement analytics techniques to transform data into meaningful information using data-oriented programming languages, visualization software, data modeling, and machine learning to extract and analyze information.
 </li>
 <li>
 Research, evaluate, and test the latest Artificial Intelligence (AI)/ Machine Learning (ML) tools, protocols, and platforms to identify opportunities for internal adoption and technological advancement.
 </li>
 <li>
 Provide AI solution architecture support for business initiative and design end-to-end AI solutions that leverage emerging technologies to fulfill complex organizational requirements.
 </li>
 <li>
 Develop rapid functional AI/ML prototypes and proof-of-concept (PoC) applications to showcase advanced capabilities to internal and external stakeholders to drive business innovation.
 </li>
 <li>
 Design and implement one-off custom AI and ML use cases, utilizing cloud services and APIs to build scalable solutions that integrate seamlessly into existing enterprise applications.
 </li>
 <li>
 Provide technical consulting support and feedback for ongoing AI use cases, enhancements, and troubleshooting issues to ensure solution stability.
 </li>
 <li>
 Translate complex technical AI concepts into accessible language to ensure internal employees at all levels understand the functionality and value of available AI tools.
 </li>
 <li>
 Analyze, manipulate, and process large sets of data and visualize, interpret, and report data findings to support organizational goals.
 </li>
 <li>
 Telecommuting permitted from anywhere within the United States.
 
 
 </li>
 </ul>
 Target Base Salary Range: $96,928 to $131,800 USD
 
 
 Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate
 
 
 Basic Requirements
 
 
 <ul>
 <li>
 Masters degree + 1 years experience or
 </li>
 <li>
 Bachelors degree + 3 years experience.
 
 
 </li>
 </ul>
 Travel Requirements
 
 
 None
 
 
 Relocation Provided
 
 
 None
 
 
 Position Type
 
 
 Experienced
 
 
 Referral Payment Plan
 
 
 No
 
 
 
 Our U.S. Benefits Include
 
 
 
 <ul>
 <li>
 Incentive Bonus Plans
 </li>
 <li>
 Medical, Dental, Vision benefits
 </li>
 <li>
 401K with Company Match
 </li>
 <li>
 10 Paid Holidays
 </li>
 <li>
 Generous Paid Time Off Packages
 </li>
 <li>
 Employee Stock Purchase Plan
 </li>
 <li>
 Paid Parental &amp; Family Leave
 </li>
 <li>
 and more!
 
 
 </li>
 </ul>
 
 
 EEO Statement
 
 
 
 
 Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.
 
 
 We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you&rsquo;d like to join our team but feel that you don&rsquo;t quite meet all of the preferred skills, we&rsquo;d still love to hear why you think you&rsquo;d be a great addition to our team.
 
 
 We&rsquo;re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you.
</div>

The University of Chicago

<div>Department
BSD CTD - Data Science 
About the Department
The Center for Translational Data Science (CTDS) at the University of Chicago is a research center whose mission is to develop the discipline of translational data science to impactful problems in biology, medicine, healthcare, and the environment. We envision a world in which researchers have ready access to the data needed and the tools required to make data driven discoveries that increase our scientific knowledge and improve the quality of life. We architect ecosystems of large-scale commons of research data, computing resources, applications, tools, and services for the broader research community to use data at scale to pursue scientific inquiry and accelerate discovery. Learn more at https://gdc.cancer.gov/ https://gen3.org/ https://stats.gen3.org/ and https://ctds.uchicago.edu/. 
Job Summary
The Center for Translational Data Science at the University of Chicago is seeking a Staff Data Scientist to support a diverse range of research projects. Data Scientists work in a collaborative interdisciplinary team and play a critical role in AI/ML tooling, features, and improvements for our open-source software systems and applications, analyzing data, and in understanding and representing user requirements to internal and external stakeholders in our translational data science projects and products. Under the leadership of team or project leads, a person in this position will be a key contributor to the design and implementation of algorithms, AI/ML models, and workflows to enable the discovery of valuable information in large volumes of data from various sources; organizes, harmonizes, and analyzes data sets and develops tools to assist such processes; uses various technologies to visualize data or enable data visualization; and creates applications of general value to the project and product owners. The job uses best practices and advanced knowledge of data manipulation, statistical applications, programming, analysis and modeling in order to implement projects related to the University's various internal data systems as well as from external sources. 
 
This at-will position is wholly or partially funded by contractual grant funding which is renewed under provisions set by the grantor of the contract. Employment will be contingent upon the continued receipt of these grant funds and satisfactory job performance.
Responsibilities<ul><li>
Leading the Interpretation of data from multiple sources.</li><li>
Developing and implementing software programs and services, software notebooks and software scripts for data transformation, data integration, data analysis and data visualization.</li><li>
Building, validating and evaluating AI/ML models.</li><li>
Contributing to and taking a leadership role in the enhancement and maintenance of previously developed in-house open-source data platforms, systems, applications and notebooks.</li><li>
Performing various types of analysis involving multiple data sets.</li><li>
Leading data science projects and initiatives within purview, by relaying data analysis and model deployment best practices, enhancing the technical knowledge of peers, and helping develop data science skills in junior employees and interns.</li><li>
Leading the conceptualization, design, and execution of sophisticated data science projects and AI/ML solutions for research and production environments.</li><li>
Establish and enforce data governance, quality assurance processes, and operational protocols for large, complex data sets from internal and external sources.</li><li>
Assisting in providing leadership for design of user-facing computational resources.</li><li>
Serving as a reference for staff, faculty members, and Gen3 users as a technical subject matter expert by applying principles of data science to define and scope data science projects that involve developing computational tools and services for data engineering, data manipulation, statistical analysis, and modeling.</li><li>
Collaborating closely with faculty, researchers, and stakeholders to translate scientific and user requirements into actionable data science strategies and solutions.</li><li>
Stay current with developments in data science, machine learning, artificial intelligence, and related fields, and adopt new methods and technologies to advance research goals.</li><li>
Communicate complex technical concepts and project results clearly to technical and non-technical audiences, and present findings at internal and external forums.</li><li>
Has a deep understanding of methods to analyze complex data sets for the purpose of extracting and purposefully using applicable information. May develop and maintain infrastructure that connects data sets.</li><li>
Guides staff or faculty members in defining the project and applies principals of data science in manipulation, statistical applications, programming, analysis and modeling.</li><li>
Calibrates data between large and complex research and administrative datasets. Guides and may set the operational protocols for collecting and analyzing information from the University's various internal data systems as well as from external sources.</li><li>
Performs other related work as needed.</li></ul> 
Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related field. 
Work Experience:
Minimum requirements include knowledge and skills developed through 5-7 years of work experience in a related job discipline. 
Certifications:
-
Preferred Qualifications
Education:<ul><li>
Advanced degree in Computer Science, Data Science, Statistics, Mathematics, Bioinformatics, or a relevant quantitative field.</li></ul>
Experience:
<ul><li>Experience working in data science roles, preferably in an academic, research, or health/science environment.</li><li>
Experience with collaborative open-source projects and software engineering best practices.</li><li>
Experience working in multi-disciplinary academic teams.</li><li>
Knowledge of biomedical and translational research data sources is a significant advantage.</li><li>
Knowledge of hardware specifications required for AI/ML research and projecting resource needs and use in public clouds environments like AWS and GCP.</li><li>
Knowledge of and experience with data and applications of interest to CTDS, including, but not necessarily limited to, AI data commons, AI data meshes, Gen3, NCI Genomic Data Commons, cancer genomics, biomedical imaging data, human clinical data.</li><li>
Expertise in designing and implementing machine learning, deep learning, and statistical models for research and production.</li><li>
Experience with biomedical data.</li><li>
Experience collaborating on manuscripts and submitting papers for peer-reviewed, scientific publications.</li></ul>
Preferred Competencies<ul><li>
Advanced skills in problem solving and quantitative/qualitative analysis.</li><li>
Able to organize and prioritize work assignments to meet project needs and work independently to identify and address needs beyond assigned tasks.</li><li>
Strong communication skills to effectively convey complex findings while serving as a reference and subject matter expert for staff, faculty members, and Gen3 users.</li><li>
Ability to quickly comprehend requirements and assignments and then explain his/her solutions in both writing and speech.</li><li>
Ability to learn new skills quickly and manage complex projects.</li><li>
Proficiency in Python, R, and other relevant programming languages; experience with open-source data science platforms, technologies, and cloud environments.</li><li>
Outstanding analytical, problem-solving, and project management abilities.</li><li>
Proven track record mentoring and leading project teams and communicating technical issues to diverse audiences.</li><li>
Excellent written and verbal communication skills.</li></ul>
Working Conditions<ul><li>
Hybrid office/remote.</li></ul>
Application Documents<ul><li>
Resume/CV (required)</li><li>
Cover Letter (preferred)</li></ul> 
The University of Chicago uses AI-assisted tools to streamline and augment some recruitment processes; however, AI is not used to make hiring decisions. 
 
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application. 
Job Family
Research 
Role Impact
Individual Contributor 
Scheduled Weekly Hours
40 
Drug Test Required
No 
Health Screen Required
No 
Motor Vehicle Record Inquiry Required
No 
Pay Rate Type
Salary 
 
FLSA Status
Exempt 
 
Pay Range
$90,000.00 - $120,000.00
The included pay rate or range represents the University&rsquo;s good faith estimate of the possible compensation offer for this role at the time of posting. 
Benefits Eligible
Yes
The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook. 
Posting Statement
The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination. 
Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form. 
All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position. 
The University of Chicago's Annual Security &amp; Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.</div>

Staff Data Scientist & AI Researcher

PayPal

<div>
 
 The Company
 
 
 PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.
 
 
 We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.
 
 
 We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.
 
 
 Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do &ndash; and they push us to ensure we take care of ourselves, each other, and our communities.
 
 
 
 Job Summary:
 
 
 
 This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.
 
 
 
 Job Description:
 
 
 
 
 Essential Responsibilities:
 
 
 
 <ul>
 <li>
 Assist in the development and optimization of machine learning models.
 </li>
 <li>
 Preprocess and analyze datasets to ensure data quality.
 </li>
 <li>
 Collaborate with senior engineers and data scientists on model deployment.
 </li>
 <li>
 Conduct experiments and run machine learning tests.
 </li>
 <li>
 Stay updated with the latest advancements in machine learning.
 
 
 </li>
 </ul>
 
 Minimum Qualifications:
 
 
 
 <ul>
 <li>
 1+ years relevant experience and a Bachelor&rsquo;s degree OR Any equivalent combination of education and experience.
 </li>
 <li>
 Familiarity with ML frameworks like TensorFlow or scikit-learn.
 </li>
 <li>
 Strong analytical and problem-solving skills.
 
 
 </li>
 </ul>
 
 Additional Responsibilities &amp; Preferred Qualifications:
 
 
 
 
 Role And Responsibilities
 
 
 <ul>
 <li>
 Support the lead of the team in performing oversight of high-impact statistical model and AI applications in a variety of business function areas, including but not limited to fraud detection, credit underwriting, marketing analytics etc.
 </li>
 <li>
 Conduct quantitative and qualitative model validation according to Model Risk Management Policy to identify and understand model risk issues
 </li>
 <li>
 Collaborate with business units and model developers to remediate model issues and provide subject-matter expert opinion on model improvements
 </li>
 <li>
 Perform model and AI risk governance related activities in line with enterprise risk framework, to ensure PayPal&rsquo;s AI applications are compliant with ever evolving regulatory expectation such as Responsible AI.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 This position requires the ability and curiosity to learn various advanced modeling methods/AI techniques, covering a broader business function. This role also requires candidate to have the capability in building effective relationship with various stakeholders including business owners, model owners, model developers and control officers. The candidate must possess excellent communication, writing and presentation skills.
 
 
 <ul>
 <li>
 An advanced degree in a quantitative field, such as statistics, mathematics, computer science or engineering essential
 </li>
 <li>
 Advanced knowledge of statistical and machine learning models (e.g., logistic regression, time series analysis, random forests, SVMs, XGBoost, CNNs/RNNs)
 </li>
 <li>
 Possessing advanced coding skills in dealing with big data (e.g., Scikit-learn in Python, Tensorflow, Hadoop, Spark , SQL, etc.)
 </li>
 <li>
 Relevant Modeling experience in credit scoring, fraud detection, financial forecasting, or marketing analytics obtained either in academic or financial industry
 </li>
 <li>
 Ability to work effectively both independently and in a team environment
 </li>
 <li>
 Ability to communicate effectively and establish constructive relationship with stakeholders
 
 
 </li>
 </ul>
 
 Subsidiary:
 
 
 
 PayPal
 
 
 
 Travel Percent:
 
 
 
 0
 
 
 The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is:
 
 
 
 Primary Location : Pay Range:
 
 
 
 Chicago, Illinois : ($117,500.00 - $174,350.00 Annually)
 
 
 
 Additional Location(s) : Pay Range:
 
 
 
 Austin, Texas : ($117,500.00 - $174,350.00 Annually)
 
 
 Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.
 
 
 PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.
 
 
 For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
 
 
 
 Our Benefits:
 
 
 
 At PayPal, we&rsquo;re committed to building an equitable and inclusive global economy. And we can&rsquo;t do this without our most important asset-you. That&rsquo;s why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing&mdash;physical, emotional, and financial&mdash;delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.
 
 
 
 Who We Are:
 
 
 
 Click Here to learn more about our culture and community.
 
 
 
 Commitment to Diversity and Inclusion
 
 
 
 PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
 
 
 
 Belonging at PayPal:
 
 
 
 Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.
 
 
 Any general requests for consideration of your skills, please Join our Talent Community.
 
 
 We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don&rsquo;t hesitate to apply.
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